Metadata-Version: 2.1
Name: MoNeT-MGDrivE
Version: 0.4.5.1
Summary: MoNeT python package
Home-page: https://chipdelmal.github.io/MoNeT/
Author: Hector M. Sanchez C.
Author-email: sanchez.hmsc@berkeley.edu
License: MIT
Description: 
        This module was created to accompany the [MGDrivE](https://marshalllab.github.io/MGDrivE/) and [MoNeT](https://chipdelmal.github.io/MoNeT/) projects to make the analysis of the spatiotemporal simulations of gene-drive spreads as seamless as possible.
        
        <hr>
        
        ##  Project Status
        
        Out code is currently under beta testing by the gene-drive [data analysis team](https://chipdelmal.github.io/MoNeT/Berkeley.html): Biyonka Liang, Gillian Chu, Maya Shen. As well as under intense development by the [dev team](https://chipdelmal.github.io/MoNeT/PythonModule.html): [Héctor M. Sánchez C.](https://chipdelmal.github.io/), Víctor Ferman, and Sarafina Smith.
        
        <hr>
        
        ##  Installation
        
        It is highly recommended to [download](https://anaconda.org/chipdelmal/MoNeT/files) and install our [anaconda environment](https://anaconda.org/chipdelmal/monet):
        
        ```bash
        conda env create -f MoNeT.yml -n MoNeT
        ```
        
        To install from pypi with pip:
        
        ```bash
        pip install MoNeT_MGDrivE
        ```
        
        Alternatively, the package can be downloaded, and installed with:
        
        ```bash
        pip install .
        ```
        
        Make sure to have the following dependencies installed:
        
        * [Numpy](http://www.numpy.org/)
        * [Matplotlib](https://matplotlib.org/)
        * [Pandas](https://pandas.pydata.org/)
        
        <hr>
        
        ##  Authors
        
        * __Lead__: [Héctor M. Sánchez C](https://chipdelmal.github.io/).
        * __Dev__: Sarafina Smith, Víctor Ferman, Biyonka Liang
        * __Former Dev__: Sabrina Wong
        * __PI__: [John M. Marshall](https://www.marshalllab.com/)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
